docstr: Helper method that uses the workspace and constructs slices of it that can be used.
  
  Returns:
      An int, representing the offset of the used workspace (practically, the slice of the workspace consumed)
      A tuple of tensors representing the shared workspace.
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code: def _prepare_workspace(self) -> Tuple[int, Tuple[torch.Tensor, ...]]:
      """
      Helper method that uses the workspace and constructs slices of it that can be used.
  
      Returns:
          An int, representing the offset of the used workspace (practically, the slice of the workspace consumed)
          A tuple of tensors representing the shared workspace.
      """
      used_offset = 0
  
      # // denom
      denom = self.gpu_workspace[
          used_offset : used_offset
          + self.maxT_ * self.maxU_ * self.minibatch_
      ]
      used_offset += self.maxT_ * self.maxU_ * self.minibatch_
  
      # // alphas & betas
      alphas = self.gpu_workspace[
          used_offset : used_offset
          + self.maxT_ * self.maxU_ * self.minibatch_
      ]
      used_offset += self.maxT_ * self.maxU_ * self.minibatch_
      betas = self.gpu_workspace[
          used_offset : used_offset
          + self.maxT_ * self.maxU_ * self.minibatch_
      ]
      used_offset += self.maxT_ * self.maxU_ * self.minibatch_
  
      # // logllh
      llForward = self.gpu_workspace[
          used_offset : used_offset + self.minibatch_
      ]
      used_offset += self.minibatch_
      llBackward = self.gpu_workspace[
          used_offset : used_offset + self.minibatch_
      ]
      used_offset += self.minibatch_
  
      return used_offset, (denom, alphas, betas, llForward, llBackward)
  
imports: import multiprocessing
  import random
  from typing import Optional, Tuple
  import numba
  import torch
  from numba import cuda
  from nemo.collections.asr.parts.numba.rnnt_loss.utils import global_constants, rnnt_helper
  from nemo.collections.asr.parts.numba.rnnt_loss.utils.cuda_utils import gpu_rnnt_kernel, reduce
label_desc: Use image node_id 6 for calling the GPURNNT obj's underlying member method code with example usage: obj._prepare_workspace() and returns: used_offset,  denom,  alphas,  betas,  llForward,  llBackward